| 引用本文： |
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崔永华,梁正友.一种基于特征提取和多模板匹配的心律失常检测算法[J].广西科学院学报,2012,28(1):7-10. [点击复制]
- CUI Yong-hua,LIANG Zheng-you.An Arrhythmia Detection Algorithm Based on Feature Extraction and Multiple Template Matching[J].Journal of Guangxi Academy of Sciences,2012,28(1):7-10. [点击复制]
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| 摘要: |
| 基于特征提取和多模板匹配的心律失常检测算法通过样本数据库创建模板库,对模板库进行特征提取以创建特征库,同时建立索引与模板库关联,然后使用特征库中的模板与待检测心电信号进行粗匹配运算,当粗匹配的相关系数大于预设阀值后,再利用索引加载相关模板进行细匹配运算。使用MIT-BIH数据库的数据验证基于特征提取和多模板匹配的心律失常检测算法的效果理想。 |
| 关键词: 检测系统 算法 特征提取 相关系数 多模板匹配 |
| DOI： |
| 投稿时间：2012-01-30修订日期：2012-02-05 |
| 基金项目: |
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| An Arrhythmia Detection Algorithm Based on Feature Extraction and Multiple Template Matching |
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CUI Yong-hua, LIANG Zheng-you
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| (School of Computer and Electronic Information, Guangxi University, Nanning, Guangxi, 530004, China) |
| Abstract: |
| The paper introduces an arrhythmia detection algorithm based on feature extraction and multiple template matching. The algorithm creates the template database from the sample database. In order to create the feature database, the algorithm extracts the features of the template database and creates the indexes associated with the corresponding template database. Then, templates of the feature database and the Electrocardiography (ECG) are used to be inspected to execute the rough matching algorithm. If the cross-correlation of the rough matching is bigger than the predefined threshold, the indexes are used to load the corresponding template and execute the fine matching algorithm. The experimental results, verified by using MIT-BIH database, show the algorithm can guarantee the detection accuracy. |
| Key words: detecting system algorithm feature database cross-correlation multiple template matching |
